Research > Adaptive signal processing

Adaptive filtering algorithms
The optimum tap-weights of a transversal(FIR) Wiener filter can be obtained by solving the Wiener-Hopf equation provided
that the required statistics of the underlying signals are available. An alternative way of finding the optimum tap-weights is
to use an iterative search algorithm that starts at some arbitrary initial point in the tap-weight vector space and progressively
moves towards the optimum point in steps. There are many iterative search algorithms derived for minimizing the cost function
with the true statistics replaced by their estimate obtained in some manner.


Least Mean Square (LMS) Algorithm

Normalized Least Mean Square (NLMS) Algorithm

Affine Projection Algorithm (APA)


Application of adaptive filtering

Channel equalization for communication

Active noise control

System identification